risk-portfolio-manager

Automates risk-aware position sizing and portfolio risk management for meme-trading systems.

7|Updated Jan 14, 2026
One-click install
npx skills add https://github.com/dreamineering/meme-times --skill risk-portfolio-manager
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: risk-portfolio-manager
Source: https://github.com/dreamineering/meme-times/tree/main/.claude/skills/risk-portfolio-manager
Command: npx skills add https://github.com/dreamineering/meme-times --skill risk-portfolio-manager

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

AI-powered risk management layer that sits between signal generation and trade execution to size positions, monitor risk metrics, and enforce defensive controls.

Core Features & Use Cases

  • Position sizing engine to determine optimal order sizes given risk preferences and market conditions
  • Real-time risk metrics dashboard (VaR, drawdown, Sharpe) and correlation analysis
  • Dynamic rebalancing and automated kill-switch style defensive actions for risk containment
  • Use cases include sizing meme-asset positions in bull markets, running scenario stress tests, and triggering automatic stop-loss/defensive actions

Quick Start

Instruct the AI to calculate a risk-adjusted position size for MEME given a moderate risk profile and bull market regime.

Frequently Asked Questions about risk-portfolio-manager

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I calculate risk-adjusted position sizing for meme assets?

Risk-adjusted position sizing is calculated by analyzing signal strength, token risk scores, current holdings, and market regime to output sized recommendations. This layer sits between signal generation and execution to automate optimal order sizes.

What is a portfolio risk management system for automated trading?

A portfolio risk management system monitors real-time metrics like VaR, drawdown, and Sharpe ratio while enforcing defensive controls. It sits between signal generation and trade execution to contain risk across multi-asset portfolios.

Can I run scenario stress tests and monitor VaR across multiple crypto assets?

You can run scenario stress tests and monitor VaR across multi-asset portfolios using the real-time risk metrics dashboard. It tracks VaR, drawdown, and Sharpe ratio alongside correlation analysis for meme-trading systems.

How do I trigger automatic stop-loss and defensive actions during market drawdowns?

Automatic stop-loss and defensive actions are triggered through dynamic rebalancing and kill-switch style controls. The system enforces risk containment by monitoring drawdown limits and executing automated actions when thresholds are breached.

Do I need signal strength and market regime data to use a position sizing engine?

You need signal strength, token risk scores, current holdings, and market regime data to use the position sizing engine. These inputs are required to calculate risk-aware recommendations and execute defensive controls.